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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53143

Survey Report on AI Based Dynamic Study Management System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53143

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SY

Sanika Yadgire1

PPJH

Prof. P. J. Hajare2

SS

Satyam Shinde3

SW

Shreyas Wagh4

SS

Sakshi Suryawanshi5

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Abstract

Students often struggle with time management. This leads to last-minute studying, missed deadlines, and increased stress. Current study planning tools are usually fixed and do not adjust to a student’s changing performance, learning style, or schedule. To solve these issues, we propose an AI-power dynamic study management system.. This system generates personalized study schedules, automatically summarizes study materials using Natural Language Processing (NLP), and creates adaptive quizzes to support learning. It uses a mix of machine learning and reinforcement learning to analyze performance data, prioritize topics, and modify study plans based on quiz results, upcoming deadlines, and identified knowledge gaps. By offering clear recommendations and real-time adjustments, this solution aims to improve academic efficiency, enhance knowledge retention, and lower study-related stress, providing a powerful tool for modern education.

KEYWORDS

Dynamic Scheduling Automatic Question Generation (AQG) Study Management Reinforcement Learning Natural Language Processing (NLP) Personalized Learning.

Cite This Article

Sanika Yadgire1, Prof. P. J. Hajare2, Satyam Shinde3, Shreyas Wagh4, Sakshi Suryawanshi5, "Survey Report on AI Based Dynamic Study Management System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025.

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Publication Date

10/21/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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